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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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rakibnsajib/README.md

Hi there, I'm Rakib Hossain Sajib 👋

Data Science Enthusiast | Machine Learning Researcher | Final Year CSE Student

About Me

  • 🎓 Computer Science and Engineering student at Begum Rokeya University, Rangpur
  • 🔍 Passionate about Data Science, Machine Learning, and solving real-world problems with data
  • 🏅 Certified in IBM Data Science and Machine Learning Specialization from Stanford University
  • 📊 I love working with data-driven projects, especially in fields like healthcare and finance
  • 💻 Proficient in Python, with hands-on experience in machine learning algorithms, model deployment, and data analysis

Skills & Certifications

  • Programming Languages:
    Python C C++ HTML5 CSS3 Dart SQL LaTeX

  • Machine Learning:
    Supervised & Unsupervised Learning, Model Evaluation, Data Preprocessing, Feature Importance Analysis
    Tools: TensorFlow PyTorch scikit-learn Scipy

  • Data Analysis & Visualization:
    Tools: Pandas NumPy Matplotlib Seaborn Plotly

  • Development Tools:
    Windows Terminal Markdown Git GitHub Docker

  • Cloud & Deployment:
    Firebase AWS Azure nVIDIA

  • App Development:
    Flutter Streamlit

  • Design Tools:
    Canva Figma

  • Certifications:

Projects

  • Credit Card Fraud Detection: A machine learning project on imbalanced data using techniques like SMOTE to detect fraudulent transactions.
  • Crop Recommendation System: Built and deployed a Random Forest model to recommend optimal crops based on environmental conditions.
  • DDoS Defense: A Multiclass and Multidimensional Detection System with Diverse Machine Learning Models: A system to detect and classify DDoS (Distributed Denial of Service) attacks using the CICDDoS2019 dataset. 🔗

Let's Connect!

Popular repositories Loading

  1. Credit-Card-Fraud-Detection-on-Imbalanced-Data-Using-Machine-Learning Credit-Card-Fraud-Detection-on-Imbalanced-Data-Using-Machine-Learning Public

    A Jupyter notebook that applies machine learning techniques to detect credit card fraud on imbalanced data. It covers data preprocessing, EDA, handling class imbalance, training classifiers (Logist…

    Jupyter Notebook 6

  2. rakibnsajib rakibnsajib Public

    Config files for my GitHub profile.

    4

  3. Crop-Recommendation-Using-Machine-Learning Crop-Recommendation-Using-Machine-Learning Public

    A Streamlit app that predicts the best crop to grow based on soil and environmental conditions using a machine learning model. Input parameters like nitrogen, phosphorus, and rainfall to receive cr…

    Jupyter Notebook 4

  4. Titanic-Survival-Prediction-Using-Machine-Learning Titanic-Survival-Prediction-Using-Machine-Learning Public

    Machine learning models for predicting Titanic survival. Includes data preprocessing, model training, and performance comparison using various algorithms. Features a Random Forest model with the hi…

    Jupyter Notebook 4

  5. DDoS-Defense-A-Multiclass-and-Multidimensional-Detection-System-with-Diverse-Machine-Learning-Models DDoS-Defense-A-Multiclass-and-Multidimensional-Detection-System-with-Diverse-Machine-Learning-Models Public

    DDoS Attack Detection and Classification using Machine Learning. A multiclass and multidimensional approach with models like Random Forest, XGBoost, MLP, KNN, and Extra Trees, trained on the CICDDo…

    Jupyter Notebook 2

  6. A-Journey-to-Machine-Learning A-Journey-to-Machine-Learning Public

    HTML 1